Unveiling geographical layouts and synergies of large-scale wind and solar power deployment in China

The spatiotemporal dynamics and synergistic relationship between wind and solar power deployment are crucial for China’s energy transition and carbon neutrality goals. Using spatial autocorrelation analysis and spatial econometrics modeling, this study examines the spatiotemporal characteristics of wind and solar power in China, investigates their synergistic relationship, and identifies the primary factors driving their deployment. The results reveal that the installed capacity of both wind and solar power in China increased substantially between 2014 and 2023, with spatial distributions exhibiting marked heterogeneity. Wind power was concentrated in North and East China, while solar power installations were primarily located in East and Northwest China. Compared with 2014, the distribution of wind and solar power installations became more dispersed by 2023, with spatial clustering weakening. At the regional level, solar installations, electricity consumption, and thermal power generation have significant positive effects on wind power installations, whereas resident population size and financial health status have negative effects. Furthermore, variables from neighboring provinces demonstrate notable spatial spillover effects, with wind and solar power deployment exhibiting strong synergies both within and across regions. This study provides comprehensive policy insights for realizing the Sustainable Development Goals and China’s dual objectives of carbon peaking and carbon neutrality, while supporting the global green transition and the advancement of a low-carbon economy.

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Publication Details

Journal
Transactions in Energy and Sustainability
Published
2026-04-25
DOI
https://doi.org/10.1177/29768632261424711
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Unveiling geographical layouts and synergies of large-scale wind and solar power deployment in China

Hui Li, AO Qing, Ze He, Mengyao Han
Transactions in Energy and Sustainability
Integrated Energy Systems Optimization
article

Unveiling geographical layouts and synergies of large-scale wind and solar power deployment in China

Hui Li, AO Qing, Ze He, Mengyao Han
article en

Abstract

The spatiotemporal dynamics and synergistic relationship between wind and solar power deployment are crucial for China’s energy transition and carbon neutrality goals. Using spatial autocorrelation analysis and spatial econometrics modeling, this study examines the spatiotemporal characteristics of wind and solar power in China, investigates their synergistic relationship, and identifies the primary factors driving their deployment. The results reveal that the installed capacity of both wind and solar power in China increased substantially between 2014 and 2023, with spatial distributions exhibiting marked heterogeneity. Wind power was concentrated in North and East China, while solar power installations were primarily located in East and Northwest China. Compared with 2014, the distribution of wind and solar power installations became more dispersed by 2023, with spatial clustering weakening. At the regional level, solar installations, electricity consumption, and thermal power generation have significant positive effects on wind power installations, whereas resident population size and financial health status have negative effects. Furthermore, variables from neighboring provinces demonstrate notable spatial spillover effects, with wind and solar power deployment exhibiting strong synergies both within and across regions. This study provides comprehensive policy insights for realizing the Sustainable Development Goals and China’s dual objectives of carbon peaking and carbon neutrality, while supporting the global green transition and the advancement of a low-carbon economy.

Transactions in Energy and Sustainability
Chinese Academy of Sciences (CN), Institute of High Energy Physics (AT), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 7%
Integrated Energy Systems Optimization
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